Efficiency Optimization of Mini Unmanned Multicopter

Igor Penkov; Dmitri Aleksandrov

doi:10.15866/irease.v10i5.12132

Efficiency Optimization of Mini Unmanned Multicopter

Igor Penkov^(1*), Dmitri Aleksandrov⁽²⁾

^(*) Corresponding author

Authors' affiliations

DOI: https://doi.org/10.15866/irease.v10i5.12132

Abstract

The article discusses three-, four-, six-, and eight-rotor UAV (Unmanned Aerial Vehicle) mini helicopters in respect to power consumption. A tricopter has most long flight time, but despite this fact, the most effective is a quadcopter. CFD (Computational Fluid Dynamics) simulations were made with purpose to find more optimal relationship between coaxial rotors. It is shown that the total lifting force generated by a pair of coaxial rotors is less than the lifting force generated by two separately standing rotors of the same size. The flow from the upper rotor in a coaxial rotor pair partially compensates the pressure near the lower rotor. The most effective is use of two rotors with the same geometrical parameters. A less efficient scheme is with the smaller rotor located on top and the larger one in the bottom.
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Keywords

UAV; CFD Simulation; Multicopter; Lift Force; Rotor; Energy Saving

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References

B. Coifman, M. McCord, R. G. Mishalani, M. Iswalt. Roadway traffic monitoring from an unmanned aerial vehicle, IEE Proc. Intell. Transp. Syst., 153 (1), 2006, 11-20.
http://dx.doi.org/10.1049/ip-its:20055014

A. Ryan, J. K. Hedrick. A mode-switching path planner for UAV-assisted search and rescue, Proceedings of the 44th IEEE conference on decision and control (Dawn, M.), Seville, Spain, December 12-15, 2005, 1471-1476.
http://dx.doi.org/10.1109/cdc.2005.1582366

D. W. Casbeer, D. B. Kingston, R. W. Beard, T. W. McLain. Cooperative forest fire surveillance using a team of small unmanned air vehicles, Int. J. Syst. Sci., 2006, 37 (6), 351–360.
http://dx.doi.org/10.1080/00207720500438480

L. Xiaofeng, P. Zhongren, Z. Liye, L. Li. Unmanned Aerial Vehicle Route Planning for Traffic Information Collection, Journal of Ttransportation Systems Engineering and Information Technology, Volume 12, Issue 1, February 2012.
http://dx.doi.org/10.1016/s1570-6672(11)60186-4

A. Puri. A survey of Unmanned Aerial Vehicles (UAV) for traffic surveillance, Department of Computer Science and Engineering, University of South Florida, 2008.
http://dx.doi.org/10.1049/iet-tv.51.8728

J. Courbon, Y. Mezouar, N. Guénard, P. Martinet. Vision-based navigation of unmanned aerial vehicles, Control Engineering Practice, Volume 18, Issue 7, July 2010, 789–799.
http://dx.doi.org/10.1016/j.conengprac.2010.03.004

M. Yasir, A. W. Azman, F. Akbar. Indoor UAV Positioning Using Stereo Vision Sensor, Procedia Engineering (41), 2012, 575 – 579.
http://dx.doi.org/10.1016/j.proeng.2012.07.214

M. Civita, W. C. Messner, T. Kanade. Modeling of small-scale helicopters with integrated first-principles and system-identification techniques, Proceedings of 58th forum of American helicopter society, Montreal, Canada, 2002, 2505–2516.
http://dx.doi.org/10.1109/robot.2003.1241652

T. Villa, F. Gonzalez, B. Miljievic, Z. D. Ristovski, L. Morawska. An overview of small unmanned aerial vehicles for air quality measurements: Present applications and future prospectives, Sensors, 16 (7), 2016, Article number 1072.
http://dx.doi.org/10.3390/s16071072

Y. Xiaoyuan, D. Jiwei, Y. Tianjie, Q. Qingfu. A method for improving detection of gas concentrations using quadrotor, Proceedings of 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, 2016, 971-975.
http://dx.doi.org/10.1109/itnec.2016.7560507

J. Andersh, B. Mettler. System integration of a miniature rotorcraft for aerial tele-operation research, Mechatronics (21), 2011, 776–788.
http://dx.doi.org/10.1016/j.mechatronics.2010.12.008

J. Yoon, J. Lee. Approximate multi-objective optimization of a quadcopter through proportional-integral-derivative control, Transactions of the Korean Society of Mechanical Engineers, A, 39 (7), 2015, 673-679.
http://dx.doi.org/10.3795/ksme-a.2015.39.7.673

L. Mejias, S. Saripalli, P. Campoy, G. S. Sukhatme. Visual servoing of an autonomous helicopter in urban areas using feature tracking, Field Robotics (23), 2006, 185–199.
http://dx.doi.org/10.1002/rob.20115

K. W. van Treuren, A. W. Hays, C. F. Wisniewski, A. R. Byerley. A comparison of the aerodynamic performance and aeroacoustic behavior of commercial and custom designed quadcopter propellers. AIAA SciTech Forum - 55th AIAA Aerospace Sciences Meeting, 2017, Article number AIAA 2017-1173.
http://dx.doi.org/10.2514/6.2017-1173

F. Lin, B. M. Chen, K. Y. Lum. Integration and implementation of a low-cost and vision UAV tracking system, Proceedings of 26th Chinese control conference, Zhangjiajie, China, 2007, 731–736.
http://dx.doi.org/10.1109/chicc.2006.4347399

G. T. Poyi, M. H. Wu, A. Bousbaine, B. Wiggins. Validation of a quad-rotor helicopter Matlab/Simulink and Solidworks models, IET Conference on Control and Automation 2013: Uniting Problems and Solutions, Code 126162.
http://dx.doi.org/10.1049/cp.2013.0012

P. Peng, G. Cai, B. M. Chen, M. Dong, K. Y. Luma, T. H. Lee. Design and implementation of an autonomous flight control law for a UAV helicopter, Automatica (45), 2009, 2333-2338.
http://dx.doi.org/10.1016/j.automatica.2009.06.016

W. Walendziuk, D. Oldziej, P. Golinski. A laboratory stand for research concerning drive units applied in unmanned flying micro vehicles. Proceedings of SPIE - The International Society for Optical Engineering, Vol. 9662, 2015, Article number 966214.
http://dx.doi.org/10.1117/12.2205081

J. H. Yun, H. Choi, J. Lee. CFD-based thrust analysis of unmanned aerial vehicle in hover mode: Effects of single rotor blade shape. Transactions of the Korean Society of Mechanical Engineers, A, 38 (5), 513-520, 2014.
http://dx.doi.org/10.3795/ksme-a.2014.38.5.513

E. Altug, J. P. Ostrowski and R. Mahony. “Control of a quad-rotor helicopter using visual feedback, International Conference on Robotics and Automation, 2002, 72-77.
http://dx.doi.org/10.1109/robot.2002.1013341

Y. C. Paw, G. J. Balas. Development and application of an integrated framework for small UAV flight control development, Mechatronics (21), 2011, 789–802.
http://dx.doi.org/10.1016/j.mechatronics.2010.09.009

Y. Yueneng, J. Wu, W. Zheng. Variable Structure Attitude Control for an UAV with Parameter Uncertainty and External Disturbance, Procedia Engineering (15), 2011, 408–415.
http://dx.doi.org/10.1016/j.proeng.2011.08.078

B. Sumantri, N. Uchiyama, S. Sano. Least square based sliding mode control for a quad-rotor helicopter and energy saving by chattering reduction, Mechanical Systems and Signal Processing, Volume 66 - 67, 2016, 769 - 784.
http://dx.doi.org/10.1016/j.ymssp.2015.05.013

G. H. Saunders. Dynamics of Helicopter Flight. Wiley-Interscience, 1975.
http://dx.doi.org/10.1002/9780470691847.ch2

N. E. Joukovsky. Collected Papers, Vol. VIII, Theory of Elasticity, Railways, Automobiles, ONTI, Moscow, 1937.
http://dx.doi.org/10.1007/978-94-015-3445-1_9

I. Penkov, D. Aleksandrov. Axial Displacements in Ball Screw Mechanisms with Two and Four Contact-point, International Review of Mechanical Engineering,(IREME) 5 (7), 2011, 1213−1218.

K. Karjust, M. Pohlak, J. Majak. (2012). Adhesion measuring method optimization in reinforced composites. Proceedings of the 8th International Conference of DAAAM Baltic Industrial Engineering, 2, 633 – 368, 19-21st April 2012.
http://dx.doi.org/10.3176/eng.2010.4.05

A. Snatkin, T. Eiskop, K. Karjust, J. Majak. Production monitoring system development and modification. Proceedings of the Estonian Academy of Sciences, 64, 567−580, 2015.
http://dx.doi.org/10.3176/proc.2015.4s.04

M. Paavel, A. Snatkin, K. Karjust. PLM optimization with cooperation of PMS in production stage. Archives of Materials Science and Engineering, 60 (1), 38−45, 2013.
http://dx.doi.org/10.1016/j.procir.2017.03.144

X. Heyong, Y. Zhengyin. Numerical Simulation of Unsteady Flow Around Forward Flight Helicopter with Coaxial Rotors. Chinese Journal of Aeronautics (24), 1-7, 2011.
http://dx.doi.org/10.1016/s1000-9361(11)60001-0

Carloni, G., Bousson, K., A Nonlinear Control Method for Autonomous Navigation Guidance, (2016) International Review of Civil Engineering (IRECE), 7 (4), pp. 102-113.
http://dx.doi.org/10.15866/irece.v7i4.10757

Deif, T., Kassem, A., El Baioumi, G., Modeling, Robustness, and Attitude Stabilization of Indoor Quad Rotor Using Fuzzy Logic Control, (2014) International Review of Aerospace Engineering (IREASE), 7 (6), pp. 192-201.
http://dx.doi.org/10.15866/irease.v7i6.4306

Vavilov, V., Ismagilov, F., Khayrullin, I., Karimov, R., Multi-Disciplinary Design of High-RPM Electric Generator with External Rotor for Unmanned Aerial Vehicle, (2016) International Review of Aerospace Engineering (IREASE), 9 (4), pp. 123-130.
http://dx.doi.org/10.15866/irease.v9i4.10340

Belhadri, K., Kouadri, B., Zegai, M., Adaptive Neural Control Algorithm Design for Attitude Stabilization of Quadrotor UAV, (2016) International Review of Automatic Control (IREACO), 9 (6), pp. 390-396.
http://dx.doi.org/10.15866/ireaco.v9i6.9919

Manzoor, M., Maqsood, A., Hasan, A., Quadratic Optimal Control of Aerodynamic Vectored UAV at High Angle of Attack, (2016) International Review of Aerospace Engineering (IREASE), 9 (3), pp. 70-79.
http://dx.doi.org/10.15866/irease.v9i3.8119

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